NBA Draft Analysis: Using Machine Learning to Project NBA Success

<p>It&rsquo;s no secret that one of the most crucial parts of building a successful sports franchise is acquiring the most talented players possible. For NBA teams, the most surefire way to acquire this talent is with a selection in the NBA draft. Once a year, NBA teams and their fans get filled with the hope that they can bring in a college star who can translate their success to the professional level.</p> <p>However, in reality, the NBA draft is a very inexact science and one that often leads to players with high expectations failing to live up to them. As an avid fan of the NBA draft, I wanted to determine if it was possible to utilize a draft prospect&rsquo;s college career to assist in the decision-making process when evaluating their NBA future. This seemed like a great intersection of data analysis and sports for me, and an opportunity to gain new skills along the way.</p> <p><a href="https://towardsdatascience.com/nba-draft-analysis-using-machine-learning-to-project-nba-success-a1c6bf576d19"><strong>Visit Now</strong></a></p>
Tags: Project NBA